cosmo-class(cosmo)
cosmo-class()所属R语言包:cosmo
Class "cosmo"
类“COSMO”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
An object of class "cosmo" is automatically created after calling the 'cosmo' function and summarizes the results.
"cosmo"类的对象会自动调用“COSMO”功能后,创建和总结的结果。
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("cosmo", ...).
创建对象可以通过检测的形式new("cosmo", ...)。
插槽----------Slots----------
seqs: A list of the input sequences.
seqs:一个输入序列列表。
pwm: An object of class pwm representing the
pwm:一个类的对象pwm代表
back: A data frame summarizing the candidate Markov
back:一个数据框,总结候选人马尔可夫
tmat: The estimated transition matrix/matrices used to
tmat:用来估计的过渡矩阵/矩阵
cand: A data frame summarizing the candidate models
cand:一个数据框,总结候选车型
cons: The constraint set applied in the final model.
cons:约束集,在最终模型中的应用。
sel: The selected model.
sel:所选择的模式。
motifs: An object of class "align" representing
motifs:一个类的对象"align"代表
probs: A list giving the posterior probabilities of
probs:一个列表,给出的后验概率
objectCall: The call which produced this object.
objectCall:产生这个对象调用。
方法----------Methods----------
summary signature(object = "cosmo",...) Summarizes the
摘要signature(object = "cosmo",...)总结
plot signature(x = "cosmo",type="PWM", ...) If type == "PWM", plots the sequence logo of the discovered motif. If type == "prob", plots the posterior probabilities of motif occurrences along all input sequences.
图signature(x = "cosmo",type="PWM", ...)如果type == "PWM",发现图案的序列图标志。如果type == "prob",序出现后验概率,以及所有输入序列图。
print signature(x = "cosmo",...) Prints the discovered motifs along with the sequences they were discovered on, the starting positions, the strand, and the posterior probability of a motif occurrence at this
打印signature(x = "cosmo",...)打印他们发现,起始位置,链,和一个主题出现在这个后验概率的序列,发现图案
show signature(object = "cosmo") Prints the discovered motifs along with the sequences they were discovered on, the starting positions, the strand, and the posterior probability of a motif occurrence at this
显示signature(object = "cosmo")他们发现,起始位置,链,和一个主题出现在这个后验概率的序列,发现图案打印
作者(S)----------Author(s)----------
Oliver Bembom, <a href="mailto:bembom@berkeley.edu">bembom@berkeley.edu</a>
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
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